MCP Snippets
iOS app by Marco Petrucci. Developer Tools · Marco Petrucci
- Store rating
- 0 / 5
- Store rating count
- 0
- Download price
- 9.99 USD
- In-app purchases
- Unknown
- Version
- 1.0
- Listing last refreshed
- 2026-09-08
View the original store listing
Store description excerpt
MCP Snippets is a focused macOS utility for building, organizing and serving a local snippet library for Model Context Protocol clients like Codex CLI/app, Claude code/Desktop, Gemini CLI, Cursor, VS Code (AI tools / Copilot integrations), Windsurf. Store reusable code, prompts, notes, queries, templates and text snippets in one place, organize them with tags, favorites, language labels and guidance content, and expose them through a local MCP service directly from your Mac. The app is built for fast local workflows: browse snippets, edit them inline, search with strict or fuzzy matching, manage curated MCP resources and control the server from a compact menu bar companion. Features: - Create, read, update, and delete snippets locally and through MCP - MCP resources for curated guidance and favorite snippets - MCP tools for snippet search, read, create, update, and delete - Local snippet library with inline editing and dedicated UI - Tags, favorites, language labels, creation and update dates - Strict or fuzzy search modes - Multiple sort options for name, creation date, and last update - Curated Guidance section for agent instructions, project directives, and MCP usage tips - Local MCP server with configurable permissions and connection settings - Menu bar access and configurable global hotkey - Import, merge-import, export, and delete of the local database - Optional Dock icon hiding and start-at-login support - Editor customization with themes, fonts, font sizes, and optional line numbers - Built-in and user-imported TextMate themes - Activity log with concise or full logging and optional auto-scroll - Localization for English, French, Spanish, Italian and German MCP Snippets keeps your library and guidance content on-device and gives AI tooling a structured local source for reusable content and project-specific context, without depending on a remote service.
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